At SiRAcon 2025, we're not just measuring risk—we’re exploring how risk decisions actually get made. That’s why this unique track dives deep into the intersection of Decision Science, Behavioral Science, and Data Science—disciplines that go far beyond numbers and models to influence the very core of enterprise risk management.

Why this track matters

In theory, good data should lead to good decisions. But in practice? It's messier. Cognitive biases, organizational politics, incomplete information, and poorly designed models can all distort risk assessments and decisions. This track confronts that reality head-on.

By blending technical methods with human insight, speakers will share strategies for making risk quantification more useful, usable, and actionable across the enterprise.

What to Expect from this Track

Decision Science: Structuring Better Choices

How do you move from quantification to action? Decision science provides frameworks for structuring options, defining objectives, and assessing tradeoffs under uncertainty. Sessions in this area will explore:

• How to frame risk questions that matter to executives

• Using decision trees, value of information, and utility curves to clarify priorities

• Real-world case studies of decisions improved (or distorted) by modeling

Behavioral Science: Understanding Risky Humans

Risk isn’t just technical—it’s deeply human. Behavioral science helps us understand how people perceive, misinterpret, and respond to risk. This sub-track explores:

• Common biases in interpreting risk data (e.g., overconfidence, probability neglect)

• Organizational friction: how teams resist or misapply quant models

• Nudging better decisions with communication, design, and defaults

Data Science: Driving Better Inputs

Behind every credible model is a mountain of messy, fragmented data. Data science helps risk professionals:

• Clean and structure data from disparate sources

• Automate updates and detect outliers

• Apply machine learning techniques with caution and transparency

You’ll also hear from practitioners who are bridging the gap between raw telemetry and business-relevant insights, using real-world data pipelines to power meaningful risk decisions.

Risk Isn’t Just a Number—It’s a Decision Process

This track will challenge attendees to think differently about the role of quantification. It's not about producing the “perfect” number—it’s about producing information that improves decisions under uncertainty.

You’ll leave with frameworks, stories, and tactics for:

• Making your models more decision-relevant

• Communicating uncertainty more effectively

• Designing processes and cultures that absorb, not resist, risk intelligence
  
  

Join Us

If you’ve ever asked “Why aren’t they using our risk analysis?”, this track is for you. Decision, behavioral, and data science offer practical, often surprising answers—and this year’s speakers are bringing their best lessons forward.

Because at the end of the day, a quantified risk is only valuable if it helps someone make a better choice.